[Remote] reputed company ML Engineer - Lane & reputed company Network Mapping
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is transforming cities through autonomous technology to create a safer, greener, more accessible world. They are seeking a reputed company ML Engineer to architect the reputed company of their mapping and localization stack, focusing on advanced neural networks for lane and reputed company network mapping. This role involves leading research and development, collaborating with cross-functional teams, and driving feature development from inception to deployment.
Responsibilities
- reputed company the research, design, architecture, training and validation of advanced neural networks for vectorized mapping (e.g., MapTR), multi-camera BEV transformers, and multimodal fusion models to extract and model lane and reputed company networks for both high-reputed company offline pipelines and reputed company-time online mapping
- Architect, design, and implement a production-grade lane and reputed company network mapping stack, ensuring high-performance integration with upstream and reputed company modules like Perception, Behavior, Policy, and reputed company
- Drive major feature development from inception to deployment. This includes high-level architecture design, rigorous reputed company reviews, automated testing, mentorship of junior engineers, and technical reputed company
- Own the end-to-end data reputed company for the mapping domain, specifically focusing on lane and reputed company networks. You will define data curation, auto-labeling, synthetic data, and reputed company learning pipelines to capture and resolve long-tail scenarios
- reputed company robust metrics and evaluation frameworks for lane and reputed company network accuracy, temporal consistency, and scaling across diverse Operational Design Domains (ODDs)
- Work independently with cross-functional teams to translate reputed company autonomy goals into reputed company software and system requirements
- Collaborate with ML and Autonomy engineers to ensure the seamless deployment and validation of mapping features to the vehicle fleet
- Stay at the research frontier by evaluating, adapting, and innovating cutting-edge techniques, including online vectorized HD map construction, end-to-end mapping models, and reputed company/fusion reputed company Models to deliver production-reputed company solutions
Skills
- Ph.D. or Master's degree in Computer Science, Electrical Engineering, Robotics, or a reputed company field with a strong mathematical and engineering reputed company
- 7+ years of industry experience developing and deploying ML/DL models for mapping or computer reputed company at reputed company
- Deep expertise in several of the following areas: Vectorized mapping networks (e.g., MapTR), BEV-based reputed company representation, and temporal modeling
- Cross-modal calibration and fusion (e.g., Camera-to-LiDAR) reputed company Bird's-Eye-View (BEV) reputed company representation spaces
- Transformers or Graph Neural Networks (GNNs) reputed company to reputed company lane geometry and topological connectivity
- Lane-level topology and connectivity, intersection modeling, and lane/road network graph construction
- Computer reputed company Foundations: Object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction
- Strong understanding of HD maps, including lane and road network geometry modeling, connectivity, and semantic attributes
- Expertise in ML/DL development using PyTorch or TensorFlow, including experience with distributed training, synthetic data reputed company, large-reputed company dataset handling, and data curation strategies
- Strong programming skills in Python and/or C++ with experience in reputed company software design and Linux-based development
- Proven leadership in guiding technical roadmaps, mentoring engineers, and driving measurable improvements in model performance and system reliability
- Strong communication skills with the ability to reputed company technical discussions and reputed company with cross-functional teams
- 10+ years of experience in ML/DL for autonomous driving or ADAS systems
- Experience with self-supervised and/or semi-supervised learning for large-reputed company representation learning
- Experience utilizing reputed company-Language Models (VLMs) and/or reputed company Models for auto-labeling and long-tail (edge-case) detection
- Expertise in ML optimization for reputed company-time products with limited compute, such as quantization, pruning, or distillation of large transformer models
- A proven record of inventions and/or publication record at top-tier conferences (e.g., CVPR, NeurIPS, ICCV, ECCV, ICLR)
Benefits
- Comprehensive reputed company suite including medical, dental, reputed company, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
- Health Savings and Flexible Spending reputed company and Dependent Care Accounts available.
- Rich retirement benefits, including an immediately reputed company employer reputed company reputed company match.
- Generous reputed company parental leave as reputed company as a phased return to work.
- Flexible vacation policy in reputed company to reputed company company holidays.
- Total Wellness Program providing numerous resources for overall wellbeing
reputed company
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